{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "data breach", "trigger": true, "arguments": ["attacker", "tool", "number of data", "number of victim", "damage amount", "purpose", "victim", "compromised data", "time"]}, {"event_type": "ransom", "trigger": true, "arguments": ["place", "payment method", "damage amount", "attack pattern", "tool", "attacker", "victim", "time"]}, {"event_type": "phishing", "trigger": true, "arguments": ["damage amount", "victim", "place", "trusted entity", "time", "attack pattern", "purpose", "tool", "attacker"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["discoverer", "supported platform", "time", "common vulnerabilities and exposures", "vulnerable system owner", "vulnerability", "vulnerable system version", "vulnerable system"]}], "input": "Fraudsters are targeting taxpayers with spurious emails and text messages pretending to be from the government ."}
{"data breach": [], "ransom": [], "phishing": [{"trigger": "pretending to be", "arguments": {"damage amount": "NAN", "victim": "taxpayers", "place": "NAN", "trusted entity": "the government", "time": "NAN", "attack pattern": "NAN", "purpose": "NAN", "tool": ["text messages", "spurious emails"], "attacker": "Fraudsters"}}], "discover vulnerability": []}